Previous studies in narcolepsy, an autoimmune disorder affecting hypocretin (orexin) neurons and recently associated with H1N1 influenza, have demonstrated significant associations with five loci. Using a well-characterized Chinese cohort, we refined known associations in TRA@ and P2RY11-DNMT1 and identified new associations in the TCR beta (TRB@; rs9648789 max P = 3.7×10−9 OR 0.77), ZNF365 (rs10995245 max P = 1.2×10−11 OR 1.23), and IL10RB-IFNAR1 loci (rs2252931 max P = 2.2×10−9 OR 0.75). Variants in the Human Leukocyte Antigen (HLA)- DQ region were associated with age of onset (rs7744020 P = 7.9×10−9 beta −1.9 years) and varied significantly among cases with onset after the 2009 H1N1 influenza pandemic compared to previous years (rs9271117 P = 7.8×10−10 OR 0.57). These reflected an association of DQB1*03:01 with earlier onset and decreased DQB1*06:02 homozygosity following 2009. Our results illustrate how genetic association can change in the presence of new environmental challenges and suggest that the monitoring of genetic architecture over time may help reveal the appearance of novel triggers for autoimmune diseases.

Growth inhibition and cold-acclimation strategies help plants withstand cold stress, which adversely affects growth and survival. PHYTOCHROME B (phyB) regulates plant growth through perceiving both light and ambient temperature signals. However, the mechanism by which phyB mediates the plant response to cold stress remains elusive. Here, we show that the key transcription factors mediating cold acclimation, C-REPEAT BINDING FACTORs (CBFs), interact with PHYTOCHROME-INTERACTING FACTOR 3 (PIF3) under cold stress, thus attenuating the mutually assured destruction of PIF3-phyB. Cold-stabilized phyB acts downstream of CBFs to positively regulate freezing tolerance by modulating the expression of stressresponsive and growth-related genes. Consistent with this, phyB mutants exhibited a freezing-sensitive phenotype, whereas phyB-overexpression transgenic plants displayed enhanced freezing tolerance. Further analysis showed that the PIF1, PIF4, and PIF5 proteins, all of which negatively regulate plant freezing tolerance, were destabilized by cold stress in a phytochrome-dependent manner. Collectively, our study reveals that CBFs-PIF3-phyB serves as an important regulatory module for modulating plant response to cold stress.

Implantable medical devices are widely used for monitoring and treatment of severe diseases. In particular, an implantable cardiac pacemaker is the most effective therapeutic device for treating bradyrhythmia, however its surgical replacement is inevitable every 5–12 years due to the limited life of the built-in battery. Although several approaches of energy harvesting have been explored in this decade for powering cardiac pacemakers, the modern, commercial, and full-function pacemaker has never been powered effectively yet. Here, we report an integrated strategy for directly powering a modern and full-function cardiac pacemaker, which can pace the porcine heart in vivo by harvesting the natural energy of a heartbeat, without using any external energy storage element. The generator includes an elastic skeleton and two piezoelectric composites, which could generate a high-output current of 15 μA in vivo over state-of-the-art performance. This study makes an impressive step toward fabricating a self-powered cardiac pacemaker and resolving the power issue of implantable medical devices by piezoelectric harvesting technology.

A 63-day feeding trial was conducted in northern snakehead to observe the effects of a dietary soybean meal substitution on the microbiota community, morphology and inflammatory cytokine gene expression in the intestine. Four isonitrogenous and isoenergetic diets containing increasing levels of soybean meal were used to replace 0%, 25%, 50% and 75% of the defatted fishmeal (diets are referred to G1, G2, G3 and G4, respectively). Different dietary soybean meal substitutions significantly affected the intestinal microbiota composition. At the phylum level, Firmicutes abundance was the lowest in the G4 group, in contrast with Proteobacteria, Bacteroidetes and Planctomycetes. At the genus level, significantly lower abundance of Lactococcus, Geobacillus, Pseudomonas, Streptococcus, Bacillus and Acinetobacter,but higher abundance of Cetobacterium, Planctomyces, Shewanella, Thermomonas, Rubrivivax and Carnobacterium was observed in fish fed the G4 diet. With increased dietary soybean meal, the thickness of the muscularis, the height of the fold and the height of the microvillus in the distal intestine decreased, but the relative expression of IL-1β, IL-10 and IL-17F was significantly up-regulated. In conclusion, more emphasis should be placed on the functionality of intestinal microbiota and the pathogenesis of mucosal inflammation to assess the effects of diet and fish intestinal health through intestinal microbiota profiling.

Type 1 narcolepsy, a disorder caused by a lack of hypocretin (orexin), is so strongly associated with human leukocyte antigen (HLA) class II HLA-DQA1(∗)01:02-DQB1(∗)06:02 (DQ0602) that very few non-DQ0602 cases have been reported. A known triggering factor for narcolepsy is pandemic 2009 influenza H1N1, suggesting autoimmunity triggered by upper-airway infections. Additional effects of other HLA-DQ alleles have been reported consistently across multiple ethnic groups. Using over 3,000 case and 10,000 control individuals of European and Chinese background, we examined the effects of other HLA loci. After careful matching of HLA-DR and HLA-DQ in case and control individuals, we found strong protective effects of HLA-DPA1(∗)01:03-DPB1(∗)04:02 (DP0402; odds ratio [OR] = 0.51 [0.38-0.67], p = 1.01 × 10(-6)) and HLA-DPA1(∗)01:03-DPB1(∗)04:01 (DP0401; OR = 0.61 [0.47-0.80], p = 2.07 × 10(-4)) and predisposing effects of HLA-DPB1(∗)05:01 in Asians (OR = 1.76 [1.34-2.31], p = 4.71 × 10(-05)). Similar effects were found by conditional analysis controlling for HLA-DR and HLA-DQ with DP0402 (OR = 0.45 [0.38-0.55] p = 8.99 × 10(-17)) and DP0501 (OR = 1.38 [1.18-1.61], p = 7.11 × 10(-5)). HLA-class-II-independent associations with HLA-A(∗)11:01 (OR = 1.32 [1.13-1.54], p = 4.92 × 10(-4)), HLA-B(∗)35:03 (OR = 1.96 [1.41-2.70], p = 5.14 × 10(-5)), and HLA-B(∗)51:01 (OR = 1.49 [1.25-1.78], p = 1.09 × 10(-5)) were also seen across ethnic groups in the HLA class I region. These effects might reflect modulation of autoimmunity or indirect effects of HLA class I and HLA-DP alleles on response to viral infections such as that of influenza.